Khaled Boulbrachene

Research Associate

Department of Fluid Mechanics

University of the Federal Armed Forces Hamburg

Biography

CFD engineer with a Dr.-Ing. specializing in Computational Fluid Dynamics and over six years of experience developing and implementing numerical methods for high-fidelity CFD solvers. Expertise in numerical methods, scientific software development, parallel programming, and high-performance computing for large-scale engineering simulations.

Interests

Computational Fluid Dynamics
Numerical Methods
Fluid–Structure Interaction
Scientific Computing
High-Performance Computing

Education

PhD (Dr.-Ing.), 2026

Helmut Schmidt University/University of the Federal Armed Forces Hamburg
M.Sc. in Computational Mechanics, 2020

Technical University of Munich
B.Eng. in Mechanical Engineering, 2016

Sultan Qaboos University

Experience

Research Associate

Department of Fluid Mechanics, University of Federal Armed Forces Hamburg

Jun 2020 – Present Hamburg, Germany

Developed and implemented numerical methods for discrete wind gust modelling in a fully parallelized 3D finite-volume Navier–Stokes solver.
Implemented the immersed boundary method and its associated MPI-based parallel communication routines for large-scale CFD simulations.
Applied these methods to large-eddy simulations and fully coupled fluid–structure interaction problems on HPC clusters.
Validated the developed methods against benchmark cases and experimental data.
Published six peer-reviewed journal articles based on the developed methodologies.

Work Student

Mecuris GmbH

Jun 2019 – Apr 2020 Munich, Germany

Performed finite element analyses of 3D-printed prosthetic feet using ANSYS Workbench.
Applied ANSYS optiSLang with Metamodels of Optimal Prognosis (MOP) to accelerate structural response prediction.
Developed an MOP-based decision workflow for selecting prosthetic feet based on patient-specific parameters.

Student Assistant

Chair of Structural Mechanics – Technical University of Munich

Nov 2018 – Apr 2019 Munich, Germany

Developed an interactive Python/Bokeh web application for computing and visualizing continuous wavelet transforms.
Enhanced a Python/Bokeh web application for simulating and visualizing the dynamic response of a base-excited mass–spring–damper system.

Research Assistant

Qatar University

Mar 2017 – May 2017 Doha, Qatar

Derived the coupled nonlinear equations governing lateral and torsional vibrations in horizontal drill pipes using Lagrange’s equations.
Implemented the numerical solution in MATLAB and analyzed the resulting dynamic system.